Advanced analytics software provider Mode announced the availability of the first instant, responsive data engine, Helix, that fundamentally changes how companies can explore and extend analysis. Helix creates the dual backbone between modern business intelligence and interactive data science. By combining these workflows, data scientists no longer have to choose between shipping fast, one-off answers and building dashboards for broader coverage. With Helix, stakeholders can extend any analysis to answer their own questions, which means neither stakeholders nor data scientists have to predict what they’ll be asked next. Regardless of the complexity of the problem at hand, users can increase the speed of better decision-making with Helix.
“Helix is saving us weeks of development time because we can build new dashboards quicker than ever before,” said Andrew Zirm, senior data scientist at Greenhouse, a Mode customer. “Marketers, product managers, and executives are also discovering new opportunities and asking new questions.”
To enable faster decision-making around the biggest challenges and opportunities facing businesses today, data-driven organizations of all sizes have gravitated toward Mode’s streamlined, code-first analytics workflow since the company launched in 2014.With Helix, Mode is further enhancing workflows for data scientists and stakeholders and making it faster and easier than ever to make informed, data-driven decisions. Helix is a high-performance, in-memory database designed for filtering, aggregating, and manipulating query results with sub-second latency, able to visualize 2000 times more data than previous limits. By offloading data processing from a customer’s data warehouse into a data engine designed for filtering and aggregating, Mode can deliver results faster and at a lower cost than a warehouse alone.
“From the beginning, Mode’s been on a mission to remove friction from a data scientist’s day,” said Derek Steer, CEO and co-founder of Mode. “We’re a long way from having AI powerful enough to answer the really tough questions facing companies today. But the humans we rely on to help tackle these questions are often stuck doing rote work—creating yet another dashboard. Helix dramatically accelerates everything data scientists do by automatically making their work more accessible and extensible. Creating dashboards and answering follow-up questions becomes faster and easier, so they can focus on the tough business problems they were hired to solve.”
The key benefits of Helix include:
- A streamlined workflow for analysts and data scientists: A recent survey conducted by Mode found that nearly half of respondents (49%) said the most inefficient part of working with data was the added steps required to make large datasets more manageable. Because Helix enables visual analysis on query results up to 10GB, data scientists and analysts can drastically reduce the need for repetitive aggregations and filters when writing queries. This accelerates workflows and helps data scientists uncover insights they wouldn’t have found otherwise. Users increase the speed of decision-making regardless of the complexity of the question at hand.
- Interactive, drag-and-drop visualization tools for deep post-query exploration: Creating dashboards and self-service tools is slow, and Helix eliminates this bottleneck. Moreover, because Mode reports now provide a jumping off point for anyone at the organization to drill down further using self-service tools, Helix eliminates the need for analysts to spend time on follow-up questions from business stakeholders. A separate survey of Mode customers with early access to Helix found a 36% drop in the number of data experts who said “answering follow-up questions from colleagues” was one of the most inefficient parts of their day.
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